使用状态空间模型识别线性植物

C. Maciag, G. Cook
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引用次数: 1

摘要

描述了一种在伺服控制下具有可达状态的线性对象的辨识方法。该方法的特点是尝试在其连续时间状态空间模型描述的系统上执行识别任务。这样的方法是可取的,因为它允许比输入输出模型更深入地了解系统的物理机制。识别多输入输出线性装置的方法是通用的,足以允许物理参数化以及对未知干扰建模的黑盒方法。问题的初始公式允许识别增量变化,而不是过时的系统参数值。所做的假设是,在应用识别的时间段内,未知系统参数保持不变。
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Identification of linear plants using state-space models
A method for identifying a linear plant with accessible state under servo control is described. The method is characterized by an attempt to perform the identification task on a system described by its continuous-time state-space model. Such an approach is desirable, since it allows greater insight into the physical mechanisms of the system than the input-output models. The method for identification of multiple input-output linear plants is general enough to allow for physical parametrization as well as a black-box approach to the modeling of the unknown disturbance. Initial formulation of the problem allows for identification of incremental changes rather than obsolete values of system parameters. The assumption made is that the unknown system parameters remain constant over the period of time over which identification is applied.<>
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